Analysis :: Proactive Caching On Rolap Dimension - Constant Change Notification On Source Table
Aug 20, 2011
I have SSAS 2008 Enterprise sp2 (not R2) running on a production server. One of the dimensions is defined as real-time Rolap - set to clear the cache whenever the table changes.
I placed triggers on that table to be sure, so I know no changes occur on that table sometimes for 10 or 15 minutes at a time - and yet I get 100's of change notifications (I noticed them on a profiler session). It seems as though the notifications come as often as the dimension gets queried.
I think this is causing one of my longer running queries to fail because of locking issues. I assume this is because the queries are getting killed when they're in middle of using an outdated cache.
The strange thing is that I cannot reproduce this on the dev servers. The main difference between the dev and production servers is that the production servers are behinfd a cluster. I don't know if that could make any difference.
I really need to know why I'm getting so many notifications.
I Create a measure group and two dimensions using [AdventureWorksDW2012], I try to change one dimension's storage mode with setting property proactive caching as Real-Time ROlap. There is no any warning message when deploying and processing, but error occurs when I query in sql server analysis services, see below for the error messages and the screen capture.
Error occurred retrieving child nodes: the current operation was cancelled because another operation in the transaction failed.
I have 2 dimensions that pull their Facility Name from the same Location Dimension. The business users want to change Facility Name in the Material Facilities dimension to “Material Facility Name”, but keep Facilities dimension attribute the same. What is a good way to go about completing this task.
I created a Time table using BIS. I found that the default naming of time members is too long and redundant.
For example, the wizard generated "Fiscal Calendar 2015", "Fiscal Quarter 1, 2015", etc. However, shorter expression like "FY2015", "FQ1 2015", etc would be enough for me.
Is it possible to change the default naming rule, or does SSAS works correctly if I update the Time table values using SQL?
When i add a dimension to the cube dimension without any relation in my dimension usage to any measure group my units are going down.However when i remove the dimension from the cube am getting the correct values.
I am working on a model where I have a sales fact table. Each fact record has four different customer fields (ship- to, sold-to, payer, and bill-to customer). I have one customer dimension table that joins to the sales fact table four times (once for each of the customer fields above). When viewing the data in Excel, I would like to have four hierarchies (ship -to, sold-to, payer, and bill-to customer) within Customer.
Is there a way to build hierarchies within my Customer dimension based on the same Customer table? What I want is to view the data in Excel and see the Customer dimension. Within Customer, I want four hierarchies.
Is it possible to design a Cube with a Dimension "DimEmployee" (SCD Type2) and Query the following: What "title" had the person "xyz" at time "2015-01-01"? - See Example data on Images.
I have also a DimTime with Day granularity. The DimEmployee is not at day granularity.
As u can see there is two company references in my fact table, and the schema is in snowflake. My customer requirements state that the Contracts' amounts can be aggregated/filtered for/by, ServiceProviderCompany, its city/profession or ClientCompay, its city/profession.
First thing came in to my mind is to dublicate whole dimension structure (one for serviceproviders, one for clients), which i thought that there should be another way around?
Do anybody know if Analysis Services 2005 allows cashing (storing) calculated members ?
There is a cube in Analysis Services 2000 with a calculated member based on some running sums. The performance of MDXs is too slow because running summs are being recalculated for each member of time dimension on each call.
I think that caching calculated members might help me and hope that this feature exists in Analysis Services 2005 .
I am working on SQL 2012.We have a SSAS Cube build. On top of it client use Excel to connect to SSAS Cube and See the reports.My Cube process every hour and take almost a 1-2 min to Process.When ever End user/Client See or refresh the Excel report (Which use Cube as Source),WHEN CUBE IS PROCESSING ,they get an error that Source is not available
We Have tried best but cannot bring down the Processing time of the cube to 3-5 Second , so that End user don't face report refresh issue at the moment of cube processing
Requirement :In Case End User see the report while Cube is processing from back end , Instead of Error they should see some customize Msg which we can provide some thing Like "Data is Refreshing , please wait ".
I am unable to see my DSV when I try to edit my dimension. I have added some new fields in my dimension table and now want to use them in my cube dimension.
Many dimensions don't have unique members. Instead, the dimension source data has duplicates at the leaf level: it's left up to SSAS to aggregate up to the actual leaf level used in hierarchies.
Every cube I've worked on in the past, a dimension is clearly defined in the source data, with uniqueness already present there: we don't make a dimension out of duplicated, sort of facty data. This kind of design seems as weird to me as an unnormalised SQL database.
Here's an example to illustrate what I mean; I'll use that Adventureworks database.
We have a Geography dimension with a Geography hierarchy. Levels go like this from top to bottom:
Country State-Province City Postcode
The Geography dimension has a key attribute called Geography Key. It's there in the cube design as a dimension attribute, but it's not in any of the hierarchies, so I can't query it in MDX. But that's fine: it has the same cardinality as the lowest level (Postal Code), because the dimension has some kind of normal design.
In the cube I'm dealing with, it's all messed up. Using the AdventureWorks example above as a parallel, someone made a Geography dimension with source data keyed on [PostalCode, ExactAddress], but only wanted the dimension granularity to be PostalCode.
This makes it very hard to debug why the data in this dimension is incorrect. I can't match up the dimension members in the cube to the source data, because the dimension doesn't actually go down to the real leaf level!
So I have a dimension attribute called ExactAddressKey, but I can't query on it in MDX, because it's not part of any dimension hierarchy. Unfortunately changing any part of this cube design is not possible, so I can't even experiment with settings and see what happens.
How I could get to the leaf level of the data imported? Something like
Or does this kind of dimension design result in SSAS discarding all the data that's more granular than the most granular attribute defined in any hierarchy - so that the data actually isn't there to be queried?
I am trying to write a T-SQL script to change about 200 SQL Agent jobs to send notification to a different email notification list. I could do this manually but it would take me a lot more time. Is there a way to script this out in T-SQL? Thanks!
Trying to create a time dimension off of a large table. When I go with the default "start year at Jan. 1", everything goes fine. When I switch that to July 1, however, (drat those fiscal years, anyway), the construction of the dimension times out. Any suggestions?
I have a database with millions of users with email addresses. I want to create an email domain dimension that groups domains into all the big email domains (hotmail, aol, yahoo) and an "other" consisting of all the other domains. I can create a table with entries for the big domains, and get the grouping working but anything that is not a big domain will get thrown out rather than put into an "other" category.
So that the list of EMP Nos that are visible changes when a different Role is selected (Filtered).
If not then is there any other way of achieving the same? What I want is that the list of EMP No that are visible should change when the user filters it using "Role" attribute in the "Uvw Security Emp" dimension.
If I add the Role attribute in the Dim M Dimension I think it will unnecessarily calculate aggregations, etc.
I am in a situation to slice a fact in two date dimension .. my <g class="gr_ gr_73 gr-alert gr_spell ContextualSpelling ins-del multiReplace" data-gr-id="73" id="73">sql</g> code is like this
select count(1) from fact_table where end_date >=(selecteddate on filter) and startdate <=end_date .
The common date dimension is Start date. and the filter will be only on <g class="gr_ gr_168 gr-alert gr_gramm Grammar only-ins doubleReplace replaceWithoutSep" data-gr-id="168" id="168">end</g> date.
Below is the code so far
<g class="gr_ gr_228 gr-alert gr_tiny gr_spell ContextualSpelling multiReplace" data-gr-id="228" id="228">i</g> did, but <g class="gr_ gr_229 gr-alert gr_tiny gr_spell ContextualSpelling multiReplace" data-gr-id="229" id="229">i</g> am not finding how to filter the start date <=end_date
with member [Measures].[X] as
Sum( {[EndDate].[YQMWD].currentmember:NULL}, ([Measures].[Count])) select [Measures].[X] on 0 , [EndDate].[YQMWD].year.members on 1 from Cube
What is the trick I can put so that I can filter those data where start date <=selected end date ....
And I have a fact table that has 2 rows that join back to the first 2 dimension rows like this:
BrokerDimId Amt 1 $100 2 $200
I want to create the mdx so that I get all of the dimension rows, even if there is no record in the fact table for it and just default the amount to 0, like this
I am getting the dropdown of the dimension folder twice, as i took printshot from client tool. In SSMS/bids also its showing this error. How to resolve it.
I'm building a cube for sales team , to test out I'm trying to process just one dimension called DimCalandar , when I try to process this dimension I get the following error ,
'Either the user abc/def, does not have access to database, or the database does not exist' ...
I'm getting this error during processing one dimension.OLE DB error: OLE DB or ODBC error: SQL Server blocked access to STATEMENT 'OpenRowset/ OpenDatasource' of component 'Ad Hoc Distributed Queries' because this component is turned off as part of the security configuration for this server. A system administrator can enable the use of 'Ad Hoc Distributed Queries' by using sp_configure. For more information about enabling 'Ad Hoc Distributed Queries', see "Surface Area Configuration" in SQL Server Books Online.; 42000.my dimension contains member from two datasource table.
and in another dimension i get error;Errors in the high-level relational engine. The 'dbo_vicidial_Users' table that is required for a join cannot be reached based on the relationships in the data source view.Errors in the OLAP storage engine: An error occurred while the dimension, with the ID of 'Staging User', Name of 'DimUsers' was being processed.
Need to resolve this calculation, which I would believe is something very common on SSAS environments.
Like many companies, my company has different ways of calculating Sales and the two I want to focus are Sales Gross and Sales Net.
At a high level, we calculate Sales Gross as Sales with returns, and Sales Net as Sales without returns.
We have an attribute called Order Type that has various types of orders a user can execute with my company. One of them is Returns. If you return something back to us, we record that as a return line on the sales table. With that, we can calculate that return, breaking data down by Order Type, such as:
Order Type Line Total
Mail Orders $ 776,655.44
Internet Orders $ 2,211,334.00
Call Center Orders $ 11,223,344.00
Credit Orders $ (55,666.00)
Today, to calculate Sales Gross and Sales Net, we are creating two dimensions: DimSalesGross and DimSalesNet.
To calculate Sales Gross, we leave the data at the natural state, not making any changes to mappings.
To calculate Sales Net, we map Credit Orders to Call Center Orders at the ETL level, getting a Net value for sales (Orders - Returns), however, I doubt this is the correct way of doing.
I would like to have a Line Total Net / Line Total Gross calculation, which would be based on the Order Type value.
Perhaps using a CASE statement in MDX? Is the above possible?
I have a got a package with source as sql table which has got 50 columns. We are using only 10 columns out of this. Recently one column name has changed and thus throws error invalid mapping. When I open the source to do the changes noticed that all the colums are prselected now and also the datatypes got changed to default ( I had changed the datatypes as per my requirement while i developed). So now I had to select required columns from source and redo the datatype changes in advanced editor.Is there any option which doesnt disturb this settings and we just need to correct the mapping alone.
I have a calculated measure. On a particular dimension I want to hide the grand total. for remaining dimension grad totals to be visible. Like the below screen shot ....
how to move the dimension attributes from currency to geography and vice versa(i.e need to change their positions) in SQL Server 2012. i need currency to be placed in top of geography or geography below currency.
